302315 (v.2) Mathematical Statistics 202

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Area:	Department of Mathematics and Statistics
Contact Hours:	4.0
Credits:	25.0
Lecture:	1 x 3 Hours Weekly
Workshop:	1 x 1 Hours Weekly
Prerequisite(s):	7062 (v.6) Mathematics 101 or any previous version AND 7149 (v.7) Principles of Statistics 101 or any previous version
Probability theory, special univariate distributions, multivariate, marginal and conditional distributions, introduction to stochastic processes, Markov chain, expectation and generating functions, functions of random variables and derived distributions,random sums, convergence of random sequence, sampling distributions, basic methods of estimation (MLE and MME), unbiasedness and consistency, introduction to decision theory, Minimax approach and Bayes approach, structure of Bayes rule, complete class ofrules, construction of minimax rules, point and interval estimations as a decision problem, hypothesis testing as a decision problem.
Year Location Period Internal Area External Central External 2003 Bentley Campus Semester 2 Y